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Graphcore

Delivers IPU-powered AI cloud services

Senior Linux Distribution and Validation Engineer

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeBristol, UK£73.5k - £99.5k /yrIn-person

About the Job

Requirements

  • Strong practical experience working in Linux environments.
  • Experience building or maintaining automated continuous integration and continuous delivery pipelines for reliable engineering workflows.
  • Proficiency in Python, Bash, or similar scripting languages.
  • Experience with Linux image creation, provisioning, or system installation.
  • Ability to diagnose failures in automated build or test environments.
  • Confidence using established tools while continuously improving engineering quality.

Responsibilities

  • Build the Linux distribution foundation that turns upstream software into trusted platform releases.
  • Create the Linux distribution that powers Graphcore AI systems.
  • Produce production-ready system images from proven upstream distributions.
  • Build and improve automated pipelines.
  • Run established Linux test suites and diagnose issues across build and validation flows.
  • Introduce controlled configuration and tuning changes with evidence-led validation.
  • Help define reliable processes for a new team building a critical part of the platform.

About the Company

Graphcore

Delivers IPU-powered AI cloud services

Graphcore.ai focuses on building and delivering Intelligence Processing Units (IPUs) and related AI services for enterprises. It provides IPU-powered cloud services, pre-trained AI models, optimized inference engines, and APIs on a subscription basis with on-demand pricing and free tiers through cloud partners. The IPUs accelerate AI workloads and enable scalable, cost-efficient AI deployment in enterprise applications. The company differentiates itself through specialized IPU hardware and optimized software stack, plus partnerships with cloud providers to reach customers, rather than relying on generic hardware. The goal is to help businesses scale AI-powered products and operations efficiently by offering flexible, scalable compute and ready-to-use AI components.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$1.1B
Headquarters
Bristol, United Kingdom
Founded
2016

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